IoT (Internet of Things) devices collect data from sensors installed in them. The data collected by IoT devices is mostly machine-generated data, which includes equipment data, status data, and other types of data. The data collected by IoT devices is sent to an IoT gateway, which acts as a central hub where IoT devices can send data. Before the data is shared, it can also be sent to an edge device where that data is analyzed locally. Analyzing data locally reduces the volume of data sent to the cloud, which minimizes bandwidth consumption.

IoT devices are used in a wide range of businesses and industries, which result in large quantities of diverse data. Most IoT devices are able to collect data from their environment, like smart speakers listening to commands or industrial drones collecting data on crop conditions. The collected data is fed back to corporate servers where businesses can use it in countless ways. Companies may choose to only use the data at the time of collection or store the collected data so they can analyze it later. Either use case can be considered to be dealing with big data.

The importance of IoT data collection is that it helps in better user experience, predictive maintenance, and swift decision-making. IoT data collection involves the use of sensors to track the performance of devices connected to the Internet of Things. The sensors track the status of the IoT network by collecting and transmitting real-time data that is stored and retrieved at any moment in time.

In conclusion, IoT devices collect machine-generated data, including equipment data, status data, and other types of data. The collected data is sent to an IoT gateway, which acts as a central hub where IoT devices can send data. IoT data collection helps in better user experience, predictive maintenance, and swift decision-making.